Topic Outline and Preliminary Reading List |
Introduction to Course
Overview of Brain Physiology; Overview of Prefrontal Cortex
Krysta Chauncey
Non-invasive Brain Measurement with HCI: Introduction to fNIRS, EEG, Machine Learning
Audrey Girouard, Leanne Hirshfield, Erin Solovey
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Read the following sections from this web site:
- Machine Learning, Part I: Types of Learning Problems
- Machine Learning, Part II: Supervised and Unsupervised Learning
- Machine Learning, Part III: Testing Algorithms, and The "No Free Lunch Theorem"
- Decision Trees, Part I: How Decision Trees Work
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Lee, J.C. and Tan, D.S. Using a low-cost electroencephalograph for
task classification in HCI research Proceedings of the 19th annual ACM
symposium on User interface software and technology, ACM Press,
Montreux, Switzerland, 2006.
[Link] (ACM digital library, access
from tufts.edu or else via
Tisch library web page
to get the text)
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First 2 pages of:
E.T. Solovey, A. Girouard, K. Chauncey, L.M. Hirshfield, A.
Sassaroli, F. Zheng, S. Fantini, and R.J.K. Jacob, "Using fNIRS
Brain Sensing in Realistic HCI Settings: Experiments and
Guidelines," ACM UIST 2009 Symposium on User Interface Software
and Technology, ACM Press (2009)
[Link]
Overview of physiological computing
- Several presenters, it is a long comprehensive paper, split it into 2 or 3 subtopics to present
Fairclough, S.H. Fundamentals of physiological computing. Interacting with Computers, 21 (1-2). 2009, 133-145.
[Link, obtain via Tufts library]
- See also:
Allanson, J. and Fairclough, S.H. A research agenda for physiological computing. Interacting with Computers, 16. 2004, 857-878.
What we can measure
- Ramnani, N. and Owen, A.M. Anterior prefrontal cortex: insights into function from anatomy and neuroimaging. Nat Rev Neurosci, 5 (3). 2004, 184.
[Link]
- Ridderinkhof, K.R., van den Wildenberg, W.P.M., Segalowitz, S.J. and Carter, C.S. Neurocognitive mechanisms of cognitive control: The role of prefrontal cortex in action selection, response inhibition, performance monitoring, and reward-based learning. Brain and Cognition, 56 (2). 2004, 129-140.
[Link]
Sept 24: Audrey Girouard, Erin Solovey: New UIST paper
- E.T. Solovey, A. Girouard, K. Chauncey, L.M. Hirshfield, A.
Sassaroli, F. Zheng, S. Fantini, and R.J.K. Jacob, "Using fNIRS
Brain Sensing in Realistic HCI Settings: Experiments and
Guidelines," ACM UIST 2009 Symposium on User Interface Software
and Technology, ACM Press (2009)
[Link]
Oct 6, 8: UIST conference
(Rest of this outline is tentative, subject to change, suggestions are welcome)
Other introductory papers
- IEEE Computer special issue on Brain Computer Interaction, volume 41, no. 10, Oct 2008
[Link]
(IEEE Xplore digital library,
access from tufts.edu or else via
Tisch library web page)
- Ramsey, N.F., van de Heuvel, M.P., Kho, K.H., Leijten, F.S.S.,
Towards human BCI applications based on cognitive brain systems: an investigation of neural signals recorded from the dorsolateral prefrontal cortex,
IEEE Transactions on Neural Systems and Rehabilitation Engineering,
2006, Volume 14, No. 2, pp. 214-217.
[Link]
- Adams, R., Bahr, G.S. and Moreno, B., Brain Computer Interfaces: Psychology and Pragmatic Perspectives for the Future. in AISB 2008 Convention, (Aberdeen, Scotland, 2008).
- Cichocki, A., Washizawa, Y., Rutkowski, T., Bakardjian, H., Phan, A.-H., Choi, S., Lee, H., Zhao, Q., Zhang, L. and Li, Y. Noninvasive BCIs: Multiway Signal-Processing Array Decompositions. IEEE Computer, 41 (10). 2008, 34-42. (From IEEE Computer special issue on BCI listed above)
What could we measure in the prefrontal cortex?
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General
- Davidson, R.J., What does the prefrontal cortex "do" in affect: Perspectives on frontal EEG asymmetry research, Biological Psychology 67 (2004) 219-233. [Link to journal] (emailed to class)
- Hongyu Yang, Zhenyu Zhoua, Yun Liu, Zongcai Ruana, Hui Gongb, Qingming Luob, Zuhong Lua, Gender difference in hemodynamic responses of prefrontal area to emotional stress by near-infrared spectroscopy. Behavioural Brain Research 178 (2007) 172-176. [Link to journal] (emailed to class)
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Workload / Working Memory
- Smith, E, and Jonides, J. Storage and Executive Processes in the Frontal Lobes. Science Volume 283. 1999. 1657-1661. [Link]
- Fairclough, S., Venables, L., Tattersall, A. The influence of task demand and learning on the psychophysiological response. International Journal of Psychophysiology 56 (2005) 171-184.
- Ryu, K., Myung, R. Evaluation of mental workload with a combined measure based on physiological indices during a dual task of tracking and mental arithmetic. International Journal of Industrial Ergonomics 35 (2005) 991-1009
- Goldberg et al. Uncoupling Cognitive Workload and Prefrontal Cortical Physiology: A PET rCBF Study. NEUROIMAGE 7, 296-303 (1998).
- Gevins, A and Smith, M. Neurophysiological Measures of Working Memory and Individual Differences in Cognitive Ability and Cognitive Style. Cerebral Cortex, Sep. 2000, 10: 829-839. [Link]
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Emotion / Affect
- Davidson R.J., Sutton S.K. Affective neuroscience: the emergence of a discipline. Current Opinion in Neurobiology, Volume 5, Number 2, April 1995 , pp. 217-224(8)
- Jose Leon-Carrion, Juan Francisco Martin-Rodriguez, Jesus Damas-Lopez, Kambiz Pourrezai, Kurtulus Izzetoglu, Juan Manuel Barroso y Martin, Maria Rosario Dominguez-Morales. A lasting post-stimulus activation on dorsolateral prefrontal cortex is
produced when processing valence and arousal in visual affective stimuli. Neuroscience Letters 422 2007
- K. Phan, S. Taylor, R. Welsh, L. Decker, D. Noll, T. Nichols, J. Britton, I. Liberzon. Activation of the medial prefrontal cortex and extended amygdala by individual ratings of emotional arousal: a fMRI study. Biological Psychiatry, Volume 53, Issue 3, Pages 211-215
- Joseph E. LeDoux. EMOTION: Clues from the Brain (1995) Ann. Rev. Psych.
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Other areas?
- Yoichi Miyawaki et al, Visual Image Reconstruction
from Human Brain Activity using a Combination of
Multiscale Local Image Decoders,
Neuron 60, pp. 915-929, December 11, 2008 Elsevier Inc.
Introduction to functional near-infrared spectroscopy (fNIRS)
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How does fNIRS work?
- Rolfe, P. In vivo near-infrared spectroscopy. Annual Review of Biomedical Engineering, August 2000, Vol. 2, Pages 715-754 [Link]
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Bunce, S., Izzetoglu, M., Izzetoglu, K., Onaral, B. and Pourrezaei,
K. Functional Near Infrared Spectroscopy: An Emerging Neuroimaging
Modality., IEEE Engineering in Medicine and Biology Magazine, 25 (4),
pp. 54-62.
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Villringer, A. and Chance, B., Non-Invasive Optical Spectroscopy
and Imaging of Human Brain Function, Trends in Neuroscience,
20, pp. 435-442.
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Chance, B., Anday, E., Nioka, S., Zhou, S., Hong, L., Worden, K.,
Li, C., Murray, T., Ovetsky, Y. and Thomas, R., A novel method for fast
imaging of brain function, non-invasively, with light, Optics Express,
10 (2), pp. 411-423.
Measuring brain activity with fNIRS
- S. Coyle, T. Ward, C. Markham, G. McDarby. "On the Suitability of Near-Infrared Systems for Next Generation Brain Computer Interfaces". World Congress on Medical Physics and Biomedical Engineering, Sydney, Australia, IFMBE, 2003
- Hoshi, Y. Tamura, M. Near-Infrared Optical Detection of Sequential Brain Activation in the Prefrontal Cortex during Mental Tasks. NEUROIMAGE 5, 292-297 (1997)
- Herrmann, M.J., Ehlis, A. C., Fallgatter, A. J. Frontal activation during a verbal-fluency task as measured by near-infrared spectroscopy. Brain Research Bulletin 61 (2003) 52-56.
- Nagamitsu, S., Nagano, M., Yamashita, Y., Takashima, S.Toyojiro Matsuishi. Prefrontal cerebral blood volume patterns while playing video games--A near-infrared spectroscopy study. Brain & Development 28 (2006) 315-321
- "Spatial and temporal analysis of human motor activity using noninvasive NIR topography". Maki A. et al. Med. Phys. 22 (12), Dec 1995.
- "Prefrontal Hypooxygenation during Language Processing Assessed with Near-Infrared Spectroscopy". Falgatter, A. J., Muller, Th. J., Strik, W. K. Neuropsychobiology 1998; 37: 215-218.
BCI Studies with fNIRS
- Shirley M Coyle, Tomas E Ward and Charles M Markham. Brain-computer interface using a simplified functional near-infrared spectroscopy system. 2007 J. Neural Eng. 4 219-226 [Link]
EEG and BCI
- Ferrez, P. Millan, J. You Are Wrong!--Automatic Detection of Interaction Errors from BrainWaves. in Proceedings of the 19th International Joint Conference on Artificial Intelligence, August 2005.
- Gerwin Schalk, Jonathan R. Wolpaw, Dennis J. McFarland, Gert Pfurtscheller. EEG-based communication: presence of an error potential. 2000. Clinical Neurophysiology 111
- Kiern, Z. A., Aunon, J. I. A New Mode of Communication Between Man and His Surroundings. IEEE Transactions on Biomedical Engineering, Vol. 37, No. 12. 1990
- C.W. Anderson and Z. Sijercic. Classification of EEG signals from four
subjects during five mental tasks. Intl. Conf. on Engineering
Applications of Neural Networks, 407--414, 1996. [Link]
- Kostov, A. Polak, M. Parallel Man-Machine Training in Development of EEG-Based Cursor Control. IEEE Trans. On Rehabilitation Engineering , Vol. 8, No. 2. 2000.
- Wolpaw JR, McFarland DJ, Neat GW, Forneris CA. An EEG-based brain-computer interface for cursor control. Electroencephalogr Clin Neurophysiol. 1991 Mar; vol. 78, no. 3, pp. 252-9.
- Leeb et al., Walking from thoughts: Not the muscles are crucial, but the brain waves!,
8th Annual International Workshop on Presence, PRESENCE 2005, 21-23 September 2005, London.
[Link]
Other non-invasive, subtle or lightweight user interfaces
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R.J.K. Jacob, "The Use of Eye Movements in Human-Computer
Interaction Techniques: What You Look At is What You Get," ACM
Transactions on Information Systems, Vol. 9(3) pp. 152-169 (April
1991).
- Pomplun, M. and Sunkara, S. Pupil Dilation as an Indicator of Cognitive Workload in Human-Computer Interaction. Human-Centred Computing: Cognitive, Social, and Ergonomic Aspects. Vol. 3 of the Proceedings of the 10th International Conference on Human-Computer Interaction, HCII 2003, Crete, Greece, 542-546. [Link]
- Iqbal, S. T., Zheng, X. S., and Bailey, B. P. 2004. Task-evoked pupillary response to mental workload in human-computer interaction. In CHI '04 Extended Abstracts on Human Factors in Computing Systems (Vienna, Austria, April 24 - 29, 2004). CHI '04. ACM Press, New York, NY, 1477-1480[Link]
- Saulnier, P., Sharlin, E. and Greenberg, S. Using bio-electrical signals to influence the social behaviours of domesticated robots Proceedings of the 4th ACM/IEEE international conference on Human robot interaction, ACM, La Jolla, California, USA, 2009.
- Krzysztof Z. Gajos, Katherine Everitt, Desney S. Tan, Mary Czerwinski, Daniel S. Weld, Predictability and Accuracy in Adaptive User Interfaces. ACM CHI 2008 paper (emailed to class)
Adaptive user interfaces
- Parasuraman, R., Mouloua, M. and Molloy, R. Effects of adaptive task allocation on monitoring of automated systems. Human Factors, v38 (n4). p665(625).
[Link]
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Wilson, G.F. and Russell, C.A. Performance enhancement in an uninhabited air vehicle task using psychophysiologically determined adaptive aiding.(Author abstract). Human Factors, 49 (6). 1005(1014).
[Link]
Machine Learning (and data analysis) with fNIRS and EEG data
- Izzetoglu M, Devaraj A, Bunce S, Onaral B, (2005). Motion Artifact
Cancellation in NIR Spectroscopy Using Wiener Filtering. IEEE
Transactions on Biomedical Engineering, 52(5):934-938. [Link]
- Gevins et al. Towards measurement of brain function in operational environments. Biological Psychoogy 1995 May;40(1-2):169-86.
- Noel, J., Baue, K., Lanning, J. Improving pilot mental workload classifcation through feature exploitation and combination: a feasibility study. Computers & Operations Research 32 (2005) 2713-2730.
- Coyle, S., Ward, T., Markham, C. Physiological Noise in Near-infrared Spectroscopy: Implications for Optical Brain Computer Interfacing. Proc. of the 26th Annual International Conference of the IEEE EMBS (2004)
- Haihong, Z., Cuntai, G. A Kernel-based Signal Localization Method for NIRS Brain-computer Interfaces. ICPR (2006)
- Sitaram et al. Temporal classification of multichannel near-infrared spectroscopy signals of motor imagery for developing a brain-computer interface. NeuroImage 34 (2007) 1416-1427.
Project discussions, presentations
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